This study provides a comprehensive understanding of optimizing a 50-node Wireless Sensor Network generated by the Watts-Strogatz model. The six-centrality metrics applied to node ranking and identification are Degree, Betweenness, Closeness, Eigenvector, Katz and Subgraph to determine which nodes can improve the efficacy of communication, pathways within the network, and survivability. Combining these centrality measures is another way to boost the performance of the WSN. What industry and research ocean apprise as the decreasing performance ratio improvement when optimizing WSN design is valuable information-based optimization of key nodes influencing the traffic visibility and probability of connection. The research demonstrates the benefits of a combined centrality approach in strengthening the architecture and functioning of wireless sensor networks.